ArticleBMC psychiatry2023
Validation of the Arabic version of the cyberchondria severity scale 12 items (CSS-12-Ar) among a sample of Lebanese adults.
Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Knowledge, Attitudes, and Behaviors Towards Cyberchondria: A Cross-Sectional Study Among Italian Adolescents.Children (Basel, Switzerland) · 2026Article
- Cyberchondria, Health Anxiety, and Sleep Quality: An Observational Cross-Sectional Study of Adults with and Without Psychosomatic Disorders.Healthcare (Basel, Switzerland) · 2026Article
- Trends in the Implementation of the Cyberchondria Severity Scale: Bibliometric Analysis.JMIR mental health · 2026Article
- Cyberchondria, somatic symptoms, and internet-based self-diagnosis among the Saudi population.Scientific reports · 2025Article
- Cyberchondria in Older Adults and Its Relationship With Cognitive Fusion, Health-Related Quality of Life, and Mental Well-Being: Mediation Analysis.JMIR aging · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundTo the best of our knowledge, the Cyberchondria Severity Scale-12 (CSS-12) has not been translated into Arabic; therefore, our objective was to assess the psychometric properties of the Arabic version of the CSS (CSS-12-Ar) among a sample of Lebanese adults.
methodsParticipants were enrolled in January 2021. A confirmatory factor analysis (CFA) was carried out using the MPlus software v.7.2, reporting several goodness-of-fit indicators: Relative Chi-square (χ2/df), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI) and Tucker Lewis Index (TLI). To evaluate measurement invariance across gender, we conducted higher-order multiple group confirmatory analysis using lavaan software.
results449 participants enrolled in this study (mean age: 24.34 ± 8.22 years, 70.6% females). Since the correlations between the four-factor model were very high (r > 0.8), we ran the higher-order CFA in which all first-order latent variables were loading a general factor. The analyzed model was well-fitted to the data χ
conclusionThe CSS-12-Ar was deemed a suitable scale to measure the severity of cyberchondria among Lebanese university students. We hope that researchers and clinicians can benefit now from this scale.
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